A Weak Signal Detection System Based on Double Resonance

Abstract

The invention discloses a weak signal detection system based on double resonance. The weak signal detection system based on the double resonance is composed of a sensor, a signal generating module, a coupling bistable system and a data acquisition module, wherein a signal, to be detected, which contains noise and is acquired by the sensor serves as input of a controlled system of the coupling bistable system, and a single-frequency signal, with the tunable frequency, generated by the signal generating module serves as a control signal to be input into a controlling system of the coupling bistable system. The coupling bistable system which is formed by coupling of a controlled unit and a controlling unit is composed of a summator, an integrator, an amplifier and a multiplier. Under the action of the control signal, the double resonance exists in the coupling system, the resonance in the controlling unit can effectively increase the stochastic resonance in the controlled unit, and after the data acquisition module acquires output of the coupling bistable system, weak signals under the noise condition can be detected through frequency-domain analysis.

Description

technical field [0001] The invention relates to a detection system for detecting weak signals under the background of strong noise by using a double-resonance stochastic resonance enhancement method. Background technique [0002] Since the concept of stochastic resonance was proposed by Benzi et al. in 1981 when studying the earth's paleoclimate problems, stochastic resonance has been more and more widely used in biomedicine, chemistry, and mechanical equipment because of its advantages in signal processing to enhance signal transmission capabilities. Fault detection, etc. are related to the field of weak signal processing. The stochastic resonance phenomenon means that under the joint action of the input signal and noise, the output signal-to-noise ratio of the nonlinear system shows a non-monotonic change as the noise intensity gradually increases from small to small. Traditional weak signal detection methods, such as linear amplification and linear filtering, focus on su...

AI Technical Summary

Problems solved by technology

However, in practical applications such as threshold systems and biological systems, the structural parameters of bistable systems are often fixed, and stochastic resonance cannot be controlled by directly changing their potential barriers and thresholds.

Images